CAJ | 학술논문

对两组评酒员的平均打分进行双样本 t 检验及 kendall 协调系数 W 检验,最终确定第一组评酒员更可信;然后利用基于主成分的聚类分析和评酒员对酒样平均打分,实现酿酒葡萄分类定级;采用基于主成分的多分类 Logistic 回归建立酿酒葡萄与葡萄酒的理化指标之间的数学模型;通过制定葡萄酒分类标准,利用基于主成分的多分类 Logistic 回归建立酿酒葡萄和葡萄酒的理化指标与葡萄酒等级的数学模型.
대량조평주원적평균타분진행쌍양본 t 검험급 kendall 협조계수 W 검험,최종학정제일조평주원경가신;연후이용기우주성분적취류분석화평주원대주양평균타분,실현양주포도분류정급;채용기우주성분적다분류 Logistic 회귀건립양주포도여포도주적이화지표지간적수학모형;통과제정포도주분류표준,이용기우주성분적다분류 Logistic 회귀건립양주포도화포도주적이화지표여포도주등급적수학모형.
Firstly, through two-sample t test and Kendall coordination coefficient W test about two groups of taster’s average score, the first group of taster is considered to be more credible, then the classification and rank of wine grape is realized based on the principal component’s cluster analysis and taster’s average score; afterwards, the mathematical model about physicochemical index between wine grape and wine is established based on the principal component’s multinomial Logistic regression, finally through setting criterion for wine classification, the mathematical model about the physicochemical index of the wine grape and wine and the level of wine is built based on the principal component’s multinomial Logistic regression.